Irma E Arispe1, Julia S Holmes, Ernest Moy. 1. National Center for Health Statistics, Centers for Disease Control and Prevention, US Department of Health and Human Services, Hyattssville, MD 20782, USA. Iaa9@cdc.gov
Abstract
OBJECTIVES: The objective of this study was to describe 2 measurement challenges faced in the development of the National Healthcare Quality Report (NHQR) and the National Healthcare Disparities Report (NHDR): the use of federal data on race and ethnicity and the selection of measures of socioeconomic status (SES). METHODS: Over 30 federal and nonfederal data systems were examined to identify measures of race, ethnicity, and SES and to evaluate the characteristics and relative quality of the data. RESULTS: The availability and quality of data on race, ethnicity, and SES vary by factors such as the type of data (population or establishment based-survey, administrative/claims data, or vital statistics), the source of information (self, proxy, other, or some combination), and the transition to new federal standards. No single measure of SES could be identified, so a mix of measures is presented, including income, education, and expected source of payment (ESOP). Income relative to federal poverty level was used as the preferred SES measure from person-based surveys. Selected analyses linking hospital discharge data to annual median household income from US census data were presented for data derived from administrative data systems. Educational attainment was the variable used for examining SES using data from the Vital Statistics System. CONCLUSIONS: The first NHQR and NHDR maximized the presentation of data by accommodating the variation among data systems while at the same time imposing some standardization in the coding and classification of data on race, ethnicity, and SES.
OBJECTIVES: The objective of this study was to describe 2 measurement challenges faced in the development of the National Healthcare Quality Report (NHQR) and the National Healthcare Disparities Report (NHDR): the use of federal data on race and ethnicity and the selection of measures of socioeconomic status (SES). METHODS: Over 30 federal and nonfederal data systems were examined to identify measures of race, ethnicity, and SES and to evaluate the characteristics and relative quality of the data. RESULTS: The availability and quality of data on race, ethnicity, and SES vary by factors such as the type of data (population or establishment based-survey, administrative/claims data, or vital statistics), the source of information (self, proxy, other, or some combination), and the transition to new federal standards. No single measure of SES could be identified, so a mix of measures is presented, including income, education, and expected source of payment (ESOP). Income relative to federal poverty level was used as the preferred SES measure from person-based surveys. Selected analyses linking hospital discharge data to annual median household income from US census data were presented for data derived from administrative data systems. Educational attainment was the variable used for examining SES using data from the Vital Statistics System. CONCLUSIONS: The first NHQR and NHDR maximized the presentation of data by accommodating the variation among data systems while at the same time imposing some standardization in the coding and classification of data on race, ethnicity, and SES.